Optimizing Data Transformations | Dataford Interview Questions

Write an optimized function to handle large-scale data transformation.

Implement transform_records(records, mapping) to return a list of transformed dictionaries. records is a list of dictionaries, and mapping maps each output key to a source key. Preserve record order, include only source fields that exist, and return an empty dictionary when no mapped source fields exist.

Constraints

0 <= len(records) <= 5,000
records is a list of dictionaries
mapping is a dictionary from output field names to source field names
Each key and value is a string or JSON-compatible primitive

Function Signature

def transform_records(records, mapping):

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Problem

Write an optimized function to handle large-scale data transformation.

Constraints

0 <= len(records) <= 5,000
records is a list of dictionaries
mapping is a dictionary from output field names to source field names
Each key and value is a string or JSON-compatible primitive

Function Signature

def transform_records(records, mapping):

Your question is Optimizing Data Transformations. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.